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The purpose of the FUSION study is to validate the diagnostic performance of Virtual Flow Reserve (VFR) by comparing it against a reference standard, fractional flow reserve (FFR).
This study is a single-arm, prospective, multi-center study collecting OCT pullback images of lesions pre-percutaneous coronary intervention (PCI) and (optional) post-PCI procedure, and the corresponding pressure tracings and physiology indices. Up to 30 centers in the US will enroll approximately 310 patients. The expected duration of enrollment is approximately 15 months. The total duration of the clinical investigation is expected to be approximately 27 months.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Standard of Care: Angiography, OCT, FFR, and VFR | Patients will have Pre-OCT Angiography, OCT pullbacks, a FFR measurement and a VFR analysis |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ICA (Invasive Coronary Angiography) | Procedure | Patients will undergo a Pre-PCI Angiography |
|
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and Specificity of Virtual Flow Reserve (VFR) Against Fractional Flow Reserve (FFR) | Sensitivity and specificity of the VFR compared with FFR each of which will be tested against a prespecified performance goal. FFR with a binary cut-off of 0.80 will be used as the reference standard for comparison. FFR or VFR value ≤ 0.80 will be considered positive (ischemia-causing), and FFR or VFR value > 0.80 will be considered negative (non-ischemia-causing). Sensitivity is defined as the percentage of VFR positive lesions, in the group of FFR positive lesions. Sensitivity=TP/(TP+FN) x 100%, where TP denotes the number of True Positives (both VFR and FFR positive) and FN denotes the number of False Negatives (VFR negative but FFR positive). Specificity is defined as the percentage of VFR negative lesions in the group of FFR negative lesions. Specificity=TN/(TN+FP) x 100%, where TN denotes the number of True Negatives (both VFR and FFR negatives) and FP denotes the number of False Positives (VFR positive but FFR negative). | Baseline (pre-procedure) and immediately post-procedure |
| Measure | Description | Time Frame |
|---|---|---|
| Overall Diagnostic Accuracy | Overall diagnostic accuracy is defined as the proportion of correctly classified lesions among all lesions. Overall Diagnostic Accuracy= (TP+TN)/(TP+TN+FP+FN) x 100%, where TP denotes the number of True Positives, FN denotes the number of False Negatives, TN denotes the number of True Negatives, and FN denotes the number of False Negatives. | Baseline (pre-procedure) and immediately post-procedure |
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Inclusion Criteria:
General Exclusion Criteria:
Imaging and Pressure Tracing Exclusion Criteria:
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This clinical investigation will enroll male and female subjects from the general interventional cardiology population.
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| Name | Affiliation | Role |
|---|---|---|
| Allen Jeremias, MD | St. Francis Hospital,Roslyn,NY, United States | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Heart Center Research, LLC. | Huntsville | Alabama | 35801 | United States | ||
| HonorHealth |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38525609 | Derived | Jeremias A, Maehara A, Matsumura M, Shlofmitz RA, Maksoud A, Akasaka T, Bezerra HG, Fearon WF, Samady H, Samuels B, Rapkin J, Gopinath A, Teraphongphom NT, Buccola J, Ali ZA. Optical Coherence Tomography-Based Functional Stenosis Assessment: FUSION-A Prospective Multicenter Trial. Circ Cardiovasc Interv. 2024 Apr;17(4):e013702. doi: 10.1161/CIRCINTERVENTIONS.123.013702. Epub 2024 Mar 25. |
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The study enrolled a total of 312 subjects with a total of 315 vessels from 27 sites. After being reviewed for quality by the core laboratory, 224 pre-PCI and 42 post-PCI vessels from 224 subjects remained for the endpoints analysis.
| ID | Title | Description |
|---|---|---|
| FG000 | Standard of Care: Angiography, OCT, FFR, and VFR | This is a single arm study. Patients will have Pre-OCT Angiography, OCT pullbacks, a FFR measurement and a VFR analysis ICA (Invasive Coronary Angiography): Patients will undergo a Pre-PCI Angiography OCT: OCT pullback images will be collected pre-PCI and (optional) post-PCI procedure FFR: FFR will be measured VFR Analysis: VFR will be calculated offline using the OCT pullback images |
| Title | Milestones | Reasons Not Completed | |||||
|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Apr 14, 2021 | Dec 19, 2023 |
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| OCT | Procedure | OCT pullback images will be collected pre-PCI and (optional) post-PCI procedure |
|
| FFR | Procedure | FFR will be measured |
|
| VFR Analysis | Other | VFR will be calculated offline using the OCT pullback images |
|
| Positive Predictive Value (PPV) and Negative Predictive Value (NPV) | PPV is defined as the proportion of lesions with the disease and with a positive test result among the group of lesions with a positive test result. PPV= TP/(TP+FP) x 100%, where TP denotes the number of True Positives and FP denotes the number of False Positives. NPV is defined as the proportion of lesions without the disease and with a negative test result among the group of lesions with negative test results. NPV= TN/(TN+FN) x 100%, where TN denotes the number of True Negatives and FN denotes the number of False Negatives. | Baseline (pre-procedure) and immediately post-procedure |
| Correlation Between VFR and FFR | The correlation between VFR and FFR will be estimated as the R^2 correlation coefficient from the simple linear regression model using VFR value as the independent variable and FFR as the dependent variable. | Baseline (pre-procedure) and immediately post-procedure (post-procedure) |
| Area Under Curve (AUC) Against FFR | AUC will be estimated as the area under the ROC curve. ROC curve will be constructed using specificity on the x-axis and sensitivity on the y-axis. Sensitivity and specificity are calculated at various values of VFR and FFR, and the AUC curve will be drawn using logistic regression. | Baseline (pre-procedure) and immediately post-procedure (post-procedure) |
| Scottsdale |
| Arizona |
| 85258 |
| United States |
| Arkansas Heart Hospital | Little Rock | Arkansas | 72211 | United States |
| VA Palo Alto Medical Center | Palo Alto | California | 94604 | United States |
| UCLA Medical Center Santa Monica | Santa Monica | California | 90404 | United States |
| Holy Cross Hospital | Fort Lauderdale | Florida | 33308 | United States |
| The Cardiac & Vascular Institute Research Foundation, LLC | Gainesville | Florida | 32605 | United States |
| Tampa General Hospital | Tampa | Florida | 33606 | United States |
| Atlanta VA Medical Center | Decatur | Georgia | 30033 | United States |
| Loyola University Medical Center | Maywood | Illinois | 60153 | United States |
| Via Christi Regional Medical Center - St. Francis Campus | Wichita | Kansas | 67214-3882 | United States |
| Cardiovascular Research Institute of Kansas | Wichita | Kansas | 67226 | United States |
| Brigham & Women's Hospital | Boston | Massachusetts | 02115 | United States |
| Beth Israel Deaconess Medical Center | Boston | Massachusetts | 02215 | United States |
| Mercy Hospital | Coon Rapids | Minnesota | 55433 | United States |
| St. Patrick Hospital | Missoula | Montana | 59802 | United States |
| New York University Hospital | New York | New York | 10016 | United States |
| New York-Presbyterian/Columbia University Medical Center | New York | New York | 10032 | United States |
| St. Francis Hospital | Roslyn | New York | 11576 | United States |
| Montefiore Medical Center - Moses Division | The Bronx | New York | 10467 | United States |
| VA Medical Center Durham | Durham | North Carolina | 27705 | United States |
| Providence St. Vincent Medical Center | Portland | Oregon | 97225 | United States |
| Holy Spirit Hospital | Camp Hill | Pennsylvania | 17011 | United States |
| Greenville Health System | Greenville | South Carolina | 29605-5601 | United States |
| Spartanburg Regional Medical Center | Spartanburg | South Carolina | 29303 | United States |
| Austin Heart | Austin | Texas | 78756 | United States |
| University of Texas Medical Branch (UTMB) | Galveston | Texas | 77555-0144 | United States |
| Memorial Hermann Hospital | Houston | Texas | 77030 | United States |
| Pre PCI |
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| Post PCI |
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| COMPLETED |
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| NOT COMPLETED |
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| ID | Title | Description |
|---|---|---|
| BG000 | Standard of Care: Angiography, OCT, FFR, and VFR | This is a single arm study. Patients will have Pre-OCT Angiography, OCT pullbacks, a FFR measurement and a VFR analysis ICA (Invasive Coronary Angiography): Patients will undergo a Pre-PCI Angiography OCT: OCT pullback images will be collected pre-PCI and (optional) post-PCI procedure FFR: FFR will be measured VFR Analysis: VFR will be calculated offline using the OCT pullback images |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean | Standard Deviation | years |
| |||||||||||||||||
| Sex: Female, Male | Count of Participants | Participants |
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| Race (NIH/OMB) | Count of Participants | Participants |
| ||||||||||||||||||
| Region of Enrollment | Number | participants |
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| Hyperlipidemia | Number | participants |
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| Hypertension | Number | participants |
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| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Sensitivity and Specificity of Virtual Flow Reserve (VFR) Against Fractional Flow Reserve (FFR) | Sensitivity and specificity of the VFR compared with FFR each of which will be tested against a prespecified performance goal. FFR with a binary cut-off of 0.80 will be used as the reference standard for comparison. FFR or VFR value ≤ 0.80 will be considered positive (ischemia-causing), and FFR or VFR value > 0.80 will be considered negative (non-ischemia-causing). Sensitivity is defined as the percentage of VFR positive lesions, in the group of FFR positive lesions. Sensitivity=TP/(TP+FN) x 100%, where TP denotes the number of True Positives (both VFR and FFR positive) and FN denotes the number of False Negatives (VFR negative but FFR positive). Specificity is defined as the percentage of VFR negative lesions in the group of FFR negative lesions. Specificity=TN/(TN+FP) x 100%, where TN denotes the number of True Negatives (both VFR and FFR negatives) and FP denotes the number of False Positives (VFR positive but FFR negative). | The primary analysis population included vessels in enrolled subjects having acceptable OCT pullbacks and pressure tracings for computing both the VFR and FFR indices. This is a single-arm study, so there is no data to report per arm, only data collected at different time points throughout the study. | Posted | Number | vessels | Baseline (pre-procedure) and immediately post-procedure | Vessels | Vessels |
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| Secondary | Overall Diagnostic Accuracy | Overall diagnostic accuracy is defined as the proportion of correctly classified lesions among all lesions. Overall Diagnostic Accuracy= (TP+TN)/(TP+TN+FP+FN) x 100%, where TP denotes the number of True Positives, FN denotes the number of False Negatives, TN denotes the number of True Negatives, and FN denotes the number of False Negatives. | The primary analysis population included vessels in enrolled subjects having acceptable OCT pullbacks and pressure tracings for computing both the VFR and FFR indices. This is a single-arm study, so there is no data to report per arm, only data collected at different time points throughout the study. | Posted | Number | vessels | Baseline (pre-procedure) and immediately post-procedure | Vessels | Vessels |
|
| |||||||||||||||||||||||||||
| Secondary | Positive Predictive Value (PPV) and Negative Predictive Value (NPV) | PPV is defined as the proportion of lesions with the disease and with a positive test result among the group of lesions with a positive test result. PPV= TP/(TP+FP) x 100%, where TP denotes the number of True Positives and FP denotes the number of False Positives. NPV is defined as the proportion of lesions without the disease and with a negative test result among the group of lesions with negative test results. NPV= TN/(TN+FN) x 100%, where TN denotes the number of True Negatives and FN denotes the number of False Negatives. | The primary analysis population included vessels in enrolled subjects having acceptable OCT pullbacks and pressure tracings for computing both the VFR and FFR indices. This is a single-arm study, so there is no data to report per arm, only data collected at different time points throughout the study. | Posted | Number | vessels | Baseline (pre-procedure) and immediately post-procedure | Vessels | Vessels |
| ||||||||||||||||||||||||||||
| Secondary | Correlation Between VFR and FFR | The correlation between VFR and FFR will be estimated as the R^2 correlation coefficient from the simple linear regression model using VFR value as the independent variable and FFR as the dependent variable. | The primary analysis population included vessels in enrolled subjects having acceptable OCT pullbacks and pressure tracings for computing both the VFR and FFR indices. This is a single-arm study, so there is no data to report per arm, only data collected at different time points throughout the study. | Posted | Number | 95% Confidence Interval | correlation coefficient | Baseline (pre-procedure) and immediately post-procedure (post-procedure) | Vessels | Vessels |
|
| ||||||||||||||||||||||||||
| Secondary | Area Under Curve (AUC) Against FFR | AUC will be estimated as the area under the ROC curve. ROC curve will be constructed using specificity on the x-axis and sensitivity on the y-axis. Sensitivity and specificity are calculated at various values of VFR and FFR, and the AUC curve will be drawn using logistic regression. | The primary analysis population included vessels in enrolled subjects having acceptable OCT pullbacks and pressure tracings for computing both the VFR and FFR indices. This is a single-arm study, so there is no data to report per arm, only data collected at different time points throughout the study. | Posted | Number | 95% Confidence Interval | probability | Baseline (pre-procedure) and immediately post-procedure (post-procedure) | Vessels | Vessels |
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Immediately post-procedure
The study enrolled a total of 312 subjects with a total of 315 vessels from 27 sites. After being reviewed for quality by the core laboratory, only 224 pre-PCI and 42 post-PCI vessels from 224 subjects remained for the endpoints analysis
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Standard of Care: Angiography, OCT, FFR, and VFR | This is a single arm study. Patients will have Pre-OCT Angiography, OCT pullbacks, a FFR measurement and a VFR analysis ICA (Invasive Coronary Angiography): Patients will undergo a Pre-PCI Angiography OCT: OCT pullback images will be collected pre-PCI and (optional) post-PCI procedure FFR: FFR will be measured VFR Analysis: VFR will be calculated offline using the OCT pullback images | 0 | 312 | 5 | 312 | 3 | 312 |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Vascular Dissection | Vascular disorders | Systematic Assessment |
| ||
| Hypotension | Vascular disorders | Systematic Assessment |
| ||
| Vessel Perforation | Vascular disorders | Systematic Assessment |
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| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Angina Pectoris | Cardiac disorders | Systematic Assessment |
| ||
| Atrial Fibrillation | Cardiac disorders | Systematic Assessment |
| ||
| Pericardial Effusion | Cardiac disorders | Systematic Assessment |
| ||
| Vascular Dissection | Vascular disorders | Systematic Assessment |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Tarn Teraphongphom, Principal Clinical Research Scientist | Abbott | +1 (408) 931-0504 | tarn.teraphongphom@abbott.com |
| Prot_000.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan | Feb 2, 2021 | Dec 19, 2023 | SAP_001.pdf |
| ID | Term |
|---|---|
| D003324 | Coronary Artery Disease |
| D023921 | Coronary Stenosis |
| ID | Term |
|---|---|
| D003327 | Coronary Disease |
| D017202 | Myocardial Ischemia |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D001161 | Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |
| D014652 | Vascular Diseases |
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| Native Hawaiian or Other Pacific Islander |
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| Black or African American |
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| White |
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| More than one race |
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| Unknown or Not Reported |
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